| | --- |
| | base_model: |
| | - mistralai/Mistral-7B-Instruct-v0.3 |
| | datasets: |
| | - noystl/Recombination-Extraction |
| | language: |
| | - en |
| | library_name: transformers |
| | license: cc |
| | pipeline_tag: feature-extraction |
| | --- |
| | |
| | This Hugging Face repository hosts a fine-tuned Mistral model designed to classify scientific abstracts based on whether they involve idea recombination, as introduced in the paper [CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature](https://huggingface.co/papers/2505.20779). The model employs a LoRA adapter on top of a Mistral base model. |
| |
|
| | For detailed usage instructions and to reproduce the results, please refer to the linked GitHub repository. |
| |
|
| | **Bibtex** |
| | ```bibtex |
| | @misc{sternlicht2025chimeraknowledgebaseidea, |
| | title={CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature}, |
| | author={Noy Sternlicht and Tom Hope}, |
| | year={2025}, |
| | eprint={2505.20779}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL}, |
| | url={https://arxiv.org/abs/2505.20779}, |
| | } |
| | ``` |
| |
|
| | **Quick Links** |
| | - 🌐 [Project](https://noy-sternlicht.github.io/CHIMERA-Web) |
| | - 📃 [Paper](https://arxiv.org/abs/2505.20779) |
| | - 🛠️ [Code](https://github.com/noy-sternlicht/CHIMERA-KB) |
